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CISS 2026: International Conference on Computational Intelligence for Social Systems

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截稿日期:
2026-11-01 还有 5 天
通知日期:
2026-11-09
会议日期:
2026-12-01
会议地点:
Istanbul, Turkey
届数:
2
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征稿

CISS 2026 (International Conference on Computational Intelligence for Social Systems) is an academic conference held in Istanbul, Turkey on 2026-12-01. The paper submission deadline is 2026-11-01. Acceptance notifications are sent on 2026-11-09.

You are invited to submit your full paper to CISS 2026. Topics of interest for CISS 2026 include, but are not limited to: Track 1. AI in Education and Personalized Learning Intelligent tutoring systems and adaptive learning platforms AI-assisted curriculum design and optimization Personalized learning path generation and recommendation Multimodal learning analytics and student engagement prediction Intelligent evaluation and grading of essays and assignments Real-time speech and pronunciation feedback for language learners Virtual learning assistants and classroom chatbots Emotion-aware learning environments AI-enhanced education for special needs learners Track 2. Computational Methods in Cultural Heritage and Creative Arts AI-generated content (AIGC) for cultural storytelling and design Semantic modeling of traditional knowledge systems Deep learning for artistic style transfer and preservation Virtual museums and cultural experience enhancement using AR/VR Image processing and restoration of heritage artifacts Knowledge graph construction for cultural domains AI in music education and intelligent accompaniment Digital curation of intangible cultural heritage Track 3. Intelligent Governance and Organizational Management Decision support systems for institutional management Multi-objective optimization in administrative workflows Data-driven evaluation of organizational performance Computational models for HR planning and talent development Intelligent public service systems and citizen engagement tools AI in policy modeling, simulation, and scenario analysis Risk prediction and response systems in governance Track 4. Social Computing and Behavior Analytics Social media data mining and sentiment analysis Computational modeling of public opinion and discourse evolution AI for community detection and social network analysis Behavioral prediction in online learning or consumer platforms Emotion recognition and affective computing in social systems Anomaly detection in user-generated data Ethics, fairness, and bias mitigation in social computing Track 5. Natural Language Processing in Social Applications NLP for educational content generation and summarization Automated translation and multilingual learning tools AI-assisted writing, grammar correction, and feedback systems Dialogue systems and voice interaction in education and services Sentiment-aware language models in learning platforms Named entity recognition and topic modeling in educational text corpora Text-to-speech and speech-to-text technologies in learning and management contexts Track 6. Data-Driven Decision Making and Optimization in Social Systems Predictive analytics for employment and career development Data mining for economic and tourism trend forecasting Recommender systems for academic and career counseling Intelligent scheduling and resource allocation in education Big data analytics for institutional planning and evaluation Optimization algorithms for curriculum and training systems Evolutionary computing in social system simulations Track 7. Emerging Technologies for Human-Centered Systems Cloud and edge computing for education and training platforms AI in early childhood education and developmental monitoring Human-computer interaction in intelligent social platforms Explainable AI for education and policy systems Blockchain for educational credential verification and resource sharing Interdisciplinary applications of robotics in social contexts Simulation engines (e.g., Box2D, Unity) in educational game design
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